Details
-
Umbrella
-
Status: Resolved
-
Major
-
Resolution: Incomplete
-
None
-
None
Description
This is an umbrella for Python API parity issues for MLlib found during 2.0 QA SPARK-14813
Attachments
Issue Links
- is a clone of
-
SPARK-14813 ML 2.0 QA: API: Python API coverage
- Resolved
- requires
-
SPARK-11938 Expose numFeatures in all ML PredictionModel for PySpark
- Resolved
-
SPARK-8516 ML attribute API in PySpark
- Resolved
-
SPARK-14894 Python GaussianMixture summary
- Resolved
-
SPARK-15402 PySpark ml.evaluation should support save/load
- Resolved
-
SPARK-15009 PySpark CountVectorizerModel should be able to construct from vocabulary list
- Resolved
-
SPARK-15113 Add missing numFeatures & numClasses to wrapped JavaClassificationModel
- Resolved
-
SPARK-15130 PySpark shared params should include default values to match Scala
- Resolved
-
SPARK-15194 Add Python ML API for MultivariateGaussian
- Resolved
-
SPARK-15163 Mark experimental algorithms experimental in PySpark
- Resolved
-
SPARK-16490 Python mllib example for chi-squared feature selector
- Resolved